Knowledge Science, Engineering and Management

7th International Conference, KSEM 2014, Sibiu, Romania, October 16-18, 2014. Proceedings

  • Robert Buchmann
  • Claudiu Vasile Kifor
  • Jian Yu
Conference proceedings KSEM 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8793)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8793)

Table of contents

  1. Front Matter
  2. Formal Semantics

    1. Éric Grégoire
      Pages 13-24
    2. Xiaoxin Jing, Shier Ju, Xudong Luo
      Pages 25-36
  3. Content and Document Analysis

    1. Christophe Thovex, Francky Trichet
      Pages 37-48
    2. Jungang Xu, Shilong Zhou, Lin Qiu, Shengyuan Liu, Pengfei Li
      Pages 49-60
  4. Concept and Lexical Analysis

    1. Sanda Dragoş, Diana Haliţă, Christian Săcărea, Diana Troancă
      Pages 73-80
    2. Wafa Wali, Bilel Gargouri, Abdelmajid Ben Hamadou
      Pages 93-104
  5. Clustering and Classification

    1. Zoltan Geler, Vladimir Kurbalija, Miloš Radovanović, Mirjana Ivanović
      Pages 105-114
    2. Liping Jing, Dong Deng, Jian Yu
      Pages 115-126
    3. Binfeng Wang, Li Tao, Chao Gao, Dawen Xia, Zhuobo Rong, Wu Wang et al.
      Pages 127-137
  6. Metamodelling and Conceptual Modelling

    1. Hisashi Masuda, Wilfrid Utz, Yoshinori Hara
      Pages 150-161
    2. Niksa Visic, Dimitris Karagiannis
      Pages 162-173
  7. Enterprise Knowledge

  8. Knowledge Discovery and Retrieval

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 7th International Conference on Knowledge Science, Engineering and Management, KSEM 2014, held in Sibiu, Romania, in October 2014. The 30 revised full papers presented together with 5 short papers and 3 keynotes were carefully selected and reviewed from 77 submissions. The papers are organized in topical sections on formal semantics; content and document analysis; concept and lexical analysis; clustering and classification; metamodeling and conceptual modeling; enterprise knowledge; knowledge discovery and retrieval; formal knowledge processing; ontology engineering and management; knowledge management; and hybrid knowledge systems.

Keywords

artificial intelligence business process modeling business-it alignment content analysis and feature selection data extraction and integration data mining document analysis enterprise ontologies, taxonomies and vocabularies information retrieval knowledge representation and reasoning lexical semantics machine learning model development and analysis natural language processing reference models semantic networks semantic web description languages similarity measures supervised learning unsupervised learning

Editors and affiliations

  • Robert Buchmann
    • 1
  • Claudiu Vasile Kifor
    • 2
  • Jian Yu
    • 3
  1. 1.Faculty of Computer Science, Knowledge Engineering Research GroupUniversity of ViennaViennaAustria
  2. 2.Faculty of Engineering, Research Center for Sustainable Products and ProcessesLucian Blaga University of SibiuSibiuRomania
  3. 3.Department of Computer Science, Beijing Key Lab of Traffic Data Analysis and MiningBeijing Jiaotong UniversityBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-12096-6
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-12095-9
  • Online ISBN 978-3-319-12096-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book